A Generic Mobility Model for Resource Prediction in Mobile Grids

Grid Computing has emerged as an efficient problem solution paradigm since the last decade. Most of the research and implementation of grid computing environments collaborate and share heterogeneous resources in static manner. Scheduling is the most challenging and primitive issue that should be addressed effectively to achieve minimized resource utilization and maximum performance. This way reduced average execution time is achieved. To realize the above mentioned goal, many prediction models have been presented based on different parameters such as network bandwidth, computing capability and replica management. Recent years have seen a keen interest of research community and practitioners for the development and deployment of mobile grids. This paper aims to present a generic mobility model to extend the conventional prediction models. The model visualizes best resources and hence improves scheduler performance in mobile grid environments. A sample implementation mechanism and two possible scenarios have been demonstrated.